Entain
gaming and wagering
JuniorMachineLearningEngineer
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“Junior Machine Learning Engineer at Entain. Skills: Machine learning, Python, ML pipelines, MLOps. Contribute to building ML pipelines. Improve ML pipelines”
What You'll Achieve.
Deliver personalised experiences; Deliver reliable experiences; Deliver responsible experiences; Enhance customer experiences; Drive better business outcomes
Industry & Context.
Problem-solving ability
What They're Looking For.
Must Have
Foundational experience in machine learning, Foundational experience in software engineering, Foundational experience in data engineering, Working knowledge of Python, Working knowledge of SQL, Interest in writing clean, maintainable code, Understanding of the ML lifecycle, Familiarity with cloud platforms, Willingness to learn cloud platforms, Exposure to tools like Git, Exposure to tools like Docker, Exposure to CI/CD pipelines, Curious mindset, Problem-solving ability, Comfortable collaborating with cross-functional teams, Communication skills, Eagerness to learn from others
Nice to Have
AWS, GCP, Azure, Databricks
What You'll Do.
Contribute to building ML pipelines
Support model deployment
Support model monitoring
Translate ideas into solutions
Assist automating workflows
Troubleshoot model issues
Troubleshoot pipeline issues
Contribute to internal tools
Contribute to reusable ML components
Participate in code reviews
Participate in team ceremonies
How You'll Work.
Team & Collaboration
Collaborate with Data Scientists; Collaborate with Engineers; Collaborate with cross-functional teams
Communication Scope
Communication skills
Full Job Description
**Who We Are** Entain Australia & New Zealand is fearlessly transforming the racing, sports, and entertainment landscape - reimagining how customers experience their favourite brands. As part of a global powerhouse operating in over 40 countries with nearly 30,000 people, we’re home to leading ANZ names like Ladbrokes, Neds, TAB, and Betcha. Across Entain ANZ, we’re shaping the future of sport and gaming entertainment through creative innovation, storytelling, and technology - creating experiences that connect with millions of fans. ### **Your Impact** Our Data Science and Engineering teams are focused on building intelligent, data-driven products that are shaping the future of gaming and wagering in Australia - delivering personalised, reliable, and responsible experiences for our customers. With millions of customers interacting with our platforms, the machine learning solutions you help build will operate at scale—where performance, reliability, and real-world impact truly matter. At Entain, we are a product-led organisation, with a strong focus on using data and AI to enhance customer experiences and drive better business outcomes. Machine Learning Engineering plays a key role in that - supporting teams to move models into production, improving how we build and operate ML systems, and ensuring our solutions are scalable, reliable, and well-governed across a wide range of use cases. ### **A Day in the Life** * Contribute to building and improving ML pipelines, from data preparation to deployment * Support the deployment and monitoring of models in production environments * Collaborate with Data Scientists and Engineers to translate ideas into scalable solutions * Assist in automating workflows across the ML lifecycle (training, evaluation, retraining) * Troubleshoot model or pipeline issues and help identify root causes * Contribute to internal tools, APIs, and reusable ML components * Participate in code reviews and team ceremonies in an Agile environment * Lear
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